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Titlebook: Geometric Discrepancy; An Illustrated Guide Jiří Matoušek Book 1999 Springer-Verlag Berlin Heidelberg 1999 Combinatorics.Dimension.Diskrepa

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发表于 2025-3-21 16:33:31 | 显示全部楼层 |阅读模式
书目名称Geometric Discrepancy
副标题An Illustrated Guide
编辑Jiří Matoušek
视频video
概述Only up-to-date comprehensive guide to the subject.Includes supplementary material:
丛书名称Algorithms and Combinatorics
图书封面Titlebook: Geometric Discrepancy; An Illustrated Guide Jiří Matoušek Book 1999 Springer-Verlag Berlin Heidelberg 1999 Combinatorics.Dimension.Diskrepa
描述Discrepancy theory is also called the theory of irregularities of distribution. Here are some typical questions: What is the "most uniform" way of dis­ tributing n points in the unit square? How big is the "irregularity" necessarily present in any such distribution? For a precise formulation of these questions, we must quantify the irregularity of a given distribution, and discrepancy is a numerical parameter of a point set serving this purpose. Such questions were first tackled in the thirties, with a motivation com­ ing from number theory. A more or less satisfactory solution of the basic discrepancy problem in the plane was completed in the late sixties, and the analogous higher-dimensional problem is far from solved even today. In the meantime, discrepancy theory blossomed into a field of remarkable breadth and diversity. There are subfields closely connected to the original number­ theoretic roots of discrepancy theory, areas related to Ramsey theory and to hypergraphs, and also results supporting eminently practical methods and algorithms for numerical integration and similar tasks. The applications in­ clude financial calculations, computer graphics, and computational physic
出版日期Book 1999
关键词Combinatorics; Dimension; Diskrepanz; Gleichverteilung; Grad; Kombinatorik; Lattice; Matching; Ramsey theory
版次1
doihttps://doi.org/10.1007/978-3-642-03942-3
isbn_softcover978-3-642-03941-6
isbn_ebook978-3-642-03942-3Series ISSN 0937-5511 Series E-ISSN 2197-6783
issn_series 0937-5511
copyrightSpringer-Verlag Berlin Heidelberg 1999
The information of publication is updating

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发表于 2025-3-21 22:55:33 | 显示全部楼层
0937-5511 rities of distribution. Here are some typical questions: What is the "most uniform" way of dis­ tributing n points in the unit square? How big is the "irregularity" necessarily present in any such distribution? For a precise formulation of these questions, we must quantify the irregularity of a give
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Introduction,erse connections and applications of discrepancy theory. Most of the space in that section is devoted to applications in numerical integration and similar problems, which by now constitute an extensive branch of applied mathematics, with conventions and methods quite different from “pure” discrepancy theory.
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https://doi.org/10.1007/978-3-476-05623-8ic and more akin to classical harmonic analysis. For many results obtained by this method, such as the tight lower bound for the discrepancy for discs of a single fixed radius, no other proofs are known.
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https://doi.org/10.1007/978-3-658-18971-6 discrepancy can be achieved, of the order log n. This chapter is devoted to various constructions of such sets and to their higher-dimensional generalizations. In dimension ., for . arbitrary but fixed, the best known sets have discrepancy for axis-parallel boxes of the order log...
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